WO2023185451A1

WO2023185451A1 - Position detection method and related device

Info

Publication number: WO2023185451A1
Application number: PCT/CN2023/081358
Authority: WO
Inventors: 陆玉春; 王玮钰; 李焕路; 张海洋; 李亮; 周勤煜
Original assignee: 华为技术有限公司
Priority date: 2022-03-31
Filing date: 2023-03-14
Publication date: 2023-10-05
Also published as: CN116938389A

Abstract

The present application relates to the technical field of communication, and provides a position detection method and a related device. The method comprises: obtaining the coefficient of a decision feedback equalizer, the decision feedback equalizer coefficient comprising a tap coefficient; obtaining a decision signal sequence of the decision feedback equalizer; if the tap coefficient is less than or equal to a first preset threshold, determining a first position of a decision signal for a burst error start in the decision signal sequence; and determining a second position of a decision signal for a burst error end in the decision signal sequence according to the first position. According to the present application, a corresponding position detection method is determined by means of a relationship between the tap coefficient and the preset threshold, and the position of the decision signal corresponding to a burst error in the decision signal sequence is accurately determined according to the position detection method, so that a burst error in the decision signal sequence is eliminated.

Description

Position detection method and related device

Cross-references to related applications

This application claims priority to the Chinese patent application submitted to the China Patent Office on March 31, 2022, with the application number 202210346736.9 and the application title "Position Detection Method and Related Devices", the entire content of which is incorporated into this application by reference.

Technical field

The present application relates to the field of communication technology, and in particular, to a position detection method and related devices.

Background technique

With the rapid development of cloud computing, big data, Internet of Things, artificial intelligence and other related industries, the amount of data has shown explosive growth. High-speed link technology is the basic technology for chips and interfaces. The continuous improvement of link transmission rate makes channel inter-symbol interference (ISI) more and more serious, and the insertion loss increases and the bit error rate increases. For optoelectronic interconnection links, the dispersion of optical fibers and the bandwidth limiting effects of photoelectric conversion devices such as drivers, modulators, photodetectors (PIN/APD), and transimpedance amplifiers (TIA) are gradually It is highlighted that stronger equalization technology is also needed to compensate for the inter-symbol interference caused by the device's lack of bandwidth.

Existing equalization technologies mainly include: CTLE (continuous time linear equalization), FFE (feed forward equalizer), DFE (DNS) and other direct detection technologies, and sequence similar technologies such as MLSE (maximum likelihood sequence estimation) and RSSE (Reduced State Sequence Estimation). Random judgment technology. The analog equalization method CTLE has an amplifying effect on noise and has only limited equalization configurations, so it must be used with FFE and DFE. When FFE is deployed at the receiving end, it also amplifies noise. DFE can accurately equalize Post ISI. However, once a bit error occurs, error transmission will occur, increasing the total bit error rate. Sequence likelihood decision technologies such as MLSE and RSSE have better performance, but their complexity is higher than FFE and DFE. At the same time, there is an add-compare-select (ACS) feedback loop, which needs to be expanded under the conditions of high-speed parallel implementation. Consumes a lot of chip area and power consumption.

In addition, when the link ISI deteriorates, the link error rate is accompanied by an increase, which makes the existing FEC (forward error correction) error correction algorithm have performance risks, and the error correction capability of FEC needs to be improved. The traditional way to improve FEC error correction capabilities is to increase parity bits, increase overhead, and improve error correction capabilities, but this will lead to problems such as reduced link utilization, increased delay, and increased decoding complexity.

Contents of the invention

Embodiments of the present application provide a position detection method and device, which can determine the position of a sudden error decision signal in a decision signal sequence.

In order to achieve the above objectives, the embodiments of this application adopt the following technical solutions:

In the first aspect, embodiments of the present application provide a position detection method. The execution subject of the method may be a position detection device or a chip applied in the position detection device. The following description takes the execution subject being a position detection device as an example. The method includes: a position detection device obtains a decision feedback equalizer coefficient, where the decision feedback equalizer coefficient includes a tap coefficient; obtains a decision signal sequence of the decision feedback equalizer; if the tap coefficient is less than or equal to a first preset threshold, then Determine the first position of the decision signal in the decision signal sequence where the burst error starts; determine the decision signal based on the first position The second position of the decision signal for the burst error end in the decision signal sequence. Among them, the tap coefficient is the tap coefficient of the decision feedback equalizer. Of course, the tap coefficient can also be called the channel α value.

In this way, when the position detection device determines the position of the decision signal of SoB in the judgment signal sequence, the position detection device can also determine the position of the decision signal of EoB in the judgment signal sequence based on SoB, providing a way to eliminate errors between SoB and EoB. foundation, helping to reduce the bit error rate.

In a possible design, the position detection method in the embodiment of the present application further includes: determining the second position of the decision signal in the decision signal sequence that indicates the end of the burst error based on the first position includes: determining the burst error The final candidate position of the final decision signal appears in the decision signal sequence at the latest, and the first candidate position is the position of at least one decision signal after the decision signal that the sudden error started; based on the first candidate position and the The first position determines a first decision area, and the first decision area includes a first candidate position, a position corresponding to a decision signal between the first position and the first candidate position;

The second position of the decision signal in the decision signal sequence where the burst error ends is determined based on the first decision area.

In this way, when the position detection device determines the latest position and the first position where the EoB decision signal may appear in the decision signal sequence, the range of the position detection device searching for the EoB decision signal is reduced to a certain extent, further reducing the cost. The calculation amount of the position detection device.

In a possible design, the position detection method in the embodiment of the present application further includes: determining the second position of the decision signal that ends with a burst error in the decision signal sequence based on the first decision area, including: obtaining the The difference value corresponding to the decision signal in the first decision area, wherein the difference value is the difference between the symbol value of the decision signal and the corresponding equalization value; determine the distance from the first position in the decision area The position where the positive and negative signs of the difference corresponding to the decision symbol at the first candidate position are the same for the first time as the positive and negative signs of the difference between the previous adjacent decision symbols is the decision signal in which the burst error ends in the decision signal sequence. second position.

In this way, when the position detection device determines the latest position where the EoB decision signal may appear in the decision signal sequence, the positive value of the difference corresponding to each decision signal identifier in the first decision area determined based on the first position and LEoB is Negative sign, the position with the same positive and negative sign as the difference corresponding to the previous adjacent position decision signal is set to the second position of the decision signal in the decision signal sequence that ends with a burst error, so as to quickly and accurately determine the decision signal in the decision signal sequence. The second position of the signal is determined when the burst error ends, thereby improving the accuracy and efficiency of error position detection.

In a possible design, determining the second position of the decision signal in the decision signal sequence in which the burst error ends based on the first decision area includes: obtaining the corresponding decision signal in the first decision area. The error image; determine the error estimation image based on the difference value and the error image, where the difference value is the difference between the symbol value of the decision signal and the corresponding equalization value, and the error estimation image is the difference The difference between the value and the error image; determine the position of the decision signal with the largest absolute value of the error estimate image as the second position.

In this way, when the position detection device determines the latest position where the EoB decision signal may appear in the decision signal sequence, the estimated decision error corresponding to each decision signal identifier is determined within the first decision area determined based on SoB and LEoB, and it is determined The position where the absolute value of the decision error is estimated to be the largest is the second position of the decision signal where the burst error ends in the decision signal sequence, so as to quickly and accurately determine the second position of the decision signal where the burst error ends in the decision signal sequence, This improves the accuracy and efficiency of error location detection.

In one possible design, determining the latest first candidate position of the decision signal that the burst error ends in the decision signal sequence includes: obtaining the DFE check value corresponding to the decision signal in the decision signal sequence, where, The DFE check value is determined based on the symbol value of the decision signal and the corresponding error estimation pattern; the position where the DFE check value of the decision signal exceeds the preset range is determined to be the first candidate position.

The preset range can be [0,3]. If the DFE check value is -1 or 4, the DFE check value exceeds the preset range. Of course, The DFE check value can also be other values.

In this way, when the position detection device can determine the DFE check value corresponding to each signal position, the position detection device can determine which one after the SoB's decision signal based on the value status of the DFE check value corresponding to each signal position. The signal position is the latest signal position where the EoB decision signal may appear in the decision signal sequence, that is, the second position in the decision signal sequence.

In a possible design, the method further includes: if the tap coefficient is greater than or equal to a first preset threshold, determine the third position of the decision signal where the burst error ends in the decision signal sequence; determine the burst error The second candidate position where the starting decision signal begins to appear in the decision signal sequence, the second candidate position is the position of at least one decision signal before the decision signal that ends in burst error; according to the second candidate position and the The third position determines the fourth position of the decision signal in the sequence of decision signals where the burst error begins.

In this way, when the tap coefficient is greater than or equal to the first preset threshold, first determine the third position of the decision signal in the decision signal sequence where the burst error ends, and then determine the fourth position of the SoB decision signal in the decision signal sequence based on the third position. Location. The area of the fourth position is further defined based on the second candidate position to reduce the range of the position detection device searching for the decision signal of the SoB, further reducing the computational load of the position detection device.

In a possible design, determining the fourth position of the decision signal in the decision signal sequence where a burst error starts based on the second candidate position and the third position includes: based on the third position and the second candidate position to determine a second decision area, the second decision area including the second candidate position, the position corresponding to the decision signal between the second candidate position and the third position; obtaining the first The difference between the decision signals in the two decision areas; the difference is the difference between the symbol value of the decision signal and the corresponding equalization value; determine the maximum absolute value of the difference between the decision signals in the second decision area. The position of the decision signal is the fourth position.

In this way, based on the second candidate position and the third position of the decision signal in the decision signal sequence where the burst error ends, the second decision area where the decision signal in the decision signal sequence where the burst error starts is located is determined, and The position of the decision signal corresponding to the maximum absolute value of the difference in this area is determined to be the fourth position.

In a possible design, the method further includes: correcting the decision signal corresponding to the first position to the second position to reduce a bit error rate.

In a second aspect, embodiments of the present application provide a position detection device, including: a communication unit and a processing unit, wherein the communication unit is used to obtain decision feedback equalizer coefficients, and the decision feedback equalizer coefficients include tap coefficients; The communication unit is also used to obtain the decision signal sequence of the decision feedback equalizer; the processing unit is used to determine the start of a burst error in the decision signal sequence if the tap coefficient is less than a first preset threshold. The first position of the decision signal; the processing unit is further configured to determine, based on the first position, the second position of the decision signal in the decision signal sequence in which the burst error ends.

In a possible design, the processing unit is further configured to: determine the latest first candidate position in the decision signal sequence where the decision signal for the end of the burst error occurs, and the first candidate position is where the burst error starts. The position of at least one decision signal after the decision signal; determining a first decision area based on the first candidate position and the first position, the first decision area including the first candidate position, the first position and the Positions corresponding to the decision signals between the first candidate positions; determining the second position of the decision signal in the decision signal sequence where the burst error ends based on the first decision area.

In a possible design, the processing unit is further configured to: obtain a difference value corresponding to the decision signal in the first decision area, where the difference value is a symbol value of the decision signal and a corresponding equalization value. the difference between; determine the positive and negative sign of the difference corresponding to the decision symbol from the first position to the first candidate position in the first decision area and the positive and negative sign of the difference between the previous adjacent decision symbols The position where the negative symbols are the same for the first time is the second position of the decision signal where the burst error ends in the decision signal sequence.

In a possible design, the processing unit is further configured to: obtain an error image corresponding to the decision signal in the first decision area; and determine an error estimation image based on a difference value and the error image, wherein the difference value is the difference between the symbol value of the decision signal and the corresponding equalization value, and the error estimation image is the difference between the difference and the error image; determine the maximum absolute value of the error estimation image The position of the decision signal is the second position.

In a possible design, the processing unit is further configured to: obtain a DFE check value corresponding to the decision signal in the decision signal sequence, wherein the DFE check value is based on the symbol value of the decision signal and the corresponding error estimate The pattern is determined; the position where the DFE check value of the decision signal exceeds the preset range is determined to be the first candidate position.

In a possible design, the processing unit is further configured to: if the tap coefficient is greater than or equal to a first preset threshold, determine the third position of the decision signal that the burst error ends in the decision signal sequence; determine the burst error. The second candidate position where the error-started decision signal begins to appear in the decision signal sequence, and the second candidate position is the position of at least one decision signal before the burst error-end decision signal; according to the second candidate position and The third position determines a fourth position of the decision signal in the sequence of decision signals where a burst error begins.

In a possible design, the processing unit is further configured to: determine a second decision area based on the third position and the second candidate position, where the second decision area includes the second candidate position, the third candidate position, and the second candidate position. The position corresponding to the decision signal between the two candidate positions and the third position; obtain the difference value of the decision signal in the second decision area; the difference value is the symbol value of the decision signal and the corresponding equalization value. Difference; determine the position of the judgment signal corresponding to the maximum absolute value of the difference of the judgment signals in the second judgment area as the fourth position.

In a possible design, the processing unit is further configured to correct the decision signal corresponding to the first position to the second position.

In a third aspect, embodiments of the present application provide a position detection device, including: a processor and a memory; the memory is used to store computer instructions, and when the processor executes the instructions, the position detection device performs the above first aspect Or any of the possible design methods in the first aspect. The position detection device may be the position detection device in the above-mentioned first aspect or any possible design of the first aspect, or a chip that implements the function of the above-mentioned position detection device.

In a fourth aspect, embodiments of the present application provide a chip including a logic circuit and an input and output interface. The input and output interface is used to communicate with a module outside the chip. For example, the chip may be a chip that implements the function of the position detection device in the above-mentioned first aspect or any possible design of the first aspect. The input and output interface inputs the position of the decision signal in the decision signal sequence where the burst error ends, or the first target value corresponding to the first signal position. Logic circuits are used to run computer programs or instructions to implement the method in the above first aspect or any possible design of the first aspect.

In a fifth aspect, embodiments of the present application provide a computer-readable storage medium that stores instructions that, when run on a computer, enable the computer to execute any one of the above-mentioned first aspects. Detection method.

In a sixth aspect, embodiments of the present application provide a computer program product containing instructions that, when run on a computer, enable the computer to perform any of the position detection methods in any of the above aspects.

In a seventh aspect, embodiments of the present application provide a circuit system. The circuit system includes a processing circuit, and the processing circuit is configured to perform the position detection method in any one of the above aspects.

Among them, the technical effects brought about by any design in the second to seventh aspects can be referred to the beneficial effects in the corresponding methods provided above, and will not be described again here.

Description of drawings

Figure 1 is a schematic diagram of a link balancing architecture provided by an embodiment of the present application;

Figure 2 is a schematic diagram of yet another link balancing architecture provided by an embodiment of the present application;

Figure 3 is a schematic diagram of a decision feedback structure provided by an embodiment of the present application;

Figure 4 is a schematic diagram of another link balancing architecture provided by an embodiment of the present application;

Figure 5 is a schematic diagram of a high-speed interconnection scenario provided by an embodiment of the present application;

Figure 6 is a schematic structural diagram of a position detection device provided by an embodiment of the present application;

Figure 7 is a schematic diagram of a detection method provided by an embodiment of the present application;

Figure 8 is a schematic flow chart of a position detection method provided by an embodiment of the present application;

Figure 9 is a schematic flowchart of a method for determining a second position provided by an embodiment of the present application;

Figure 10 is a schematic flowchart of yet another method for determining a second position provided by an embodiment of the present application;

Figure 11 is a schematic flowchart of yet another method for determining a second position provided by an embodiment of the present application;

Figure 12 is a schematic flowchart of a method for determining the fourth position provided by an embodiment of the present application;

Figure 13 is a schematic flowchart of a method for determining the fourth position provided by an embodiment of the present application;

Figure 14 is a schematic flowchart of a method for determining a second candidate location provided by an embodiment of the present application;

Figure 15 is a performance comparison chart provided by the embodiment of the present application;

Figure 16 is another performance comparison chart provided by the embodiment of the present application;

Figure 17 is a schematic structural diagram of a position detection device provided by an embodiment of the present application;

Figure 18 is a schematic structural diagram of yet another position detection device provided by an embodiment of the present application.

Detailed ways

The terms “first” and “second” in the description of this application and the drawings are used to distinguish different objects, or to distinguish different processes on the same object, rather than to describe a specific order of objects. Furthermore, references to the terms "including" and "having" and any variations thereof in the description of this application are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally also includes other unlisted steps or units, or optionally also Includes other steps or units that are inherent to such processes, methods, products, or devices. In the embodiment of this application, "multiple" includes two or more, and "system" can be replaced with "network". In the embodiments of this application, words such as "exemplary" or "for example" are used to represent examples, illustrations or explanations. Any embodiment or design described as "exemplary" or "such as" in the embodiments of the present application is not to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the words "exemplary" or "such as" is intended to present the concept in a concrete manner.

First, the technical terms involved in the embodiments of this application are introduced:

1. Modulation, demodulation

At the transmitting end, the process of mapping a sequence of bits into a signal suitable for transmission in the channel is called "modulation."

At the receiving end, the process of mapping the received signal into a bit sequence is called "demodulation."

2. Pulse amplitude modulation (PAM)

A signal modulation technique that uses signal amplitude to represent transmitted data. For example, common ones include PAM-2 modulation, PAM-4 modulation, etc. Here, PAM-2 modulation uses two levels to represent one bit of information. PAM-4 modulation uses four levels to represent two bits of information.

3. Decision signal identification (identity, ID)

The decision signal identifier, which can also be described as "the signal position of the decision signal" or "the position of the decision signal", is used to identify the position of a decision signal in the decision signal sequence. Among them, the decision signal sequence is the sequence to which the decision signal belongs. Among them, the introduction of "decision signal" and "decision signal sequence" can be found in the subsequent description, and will not be described again here.

For example, referring to Table 1, in the case where a decision signal sequence includes 18 decision signals, a decision signal The identifier corresponds to a signal position. The position of the first judgment signal among the above 18 judgment signals can be recorded as judgment signal identifier 1, the position of the second judgment signal among the above 18 judgment signals can be recorded as judgment signal identifier 2, and the other decisions among the above 18 judgment signals can be recorded as judgment signal identifier 1. The position notation of the signal can be deduced in this way and will not be repeated here.

4. Precoded data (PrecEncOut)

Precoded data refers to the data obtained by precoding the input data using a precoder at the sending end. The precoding technology used by the precoder may be 1/(1+D) precoding technology. The input data can be recorded as Din.

Exemplarily, the processing process of 1/(1+D) precoding technology is as follows: when the precoder receives the original input data at a signal position, the precoder uses the "precoded data of the previous signal position" "Perform precoding processing on the "original input data of the current signal position" (for example, subtract the "precoded data of the previous signal position" from the "original input data of the current signal position", and then perform a modulo operation) to Obtain "precoded data of the current signal position". For example, still taking Table 1 as an example, in the case of "decision signal identification 1 as the current signal position", "the original input data of the current signal position" is "1", and "the precoding of the previous signal position of the current signal position" "The data after" does not exist and is regarded as "0", the difference between the two is made, and then a modulo operation is performed on 4 to obtain the "precoded data of the current signal position", that is, "1". For another example, in the case of "decision signal identifier 2 is used as the current signal position", the "original input data of the current signal position" is "3", and the "precoded data of the previous signal position of the current signal position" is " 1", make a difference between the two, and then perform a modulo operation on 4 to obtain the "precoded data of the current signal position", that is, "2". Precoded data identified by other decision signals can be deduced in this way.

5. Channel, theoretical value

Channel refers to the channel for transmitting data between the sender and the receiver. For example, the data transmitted in the channel is precoded data.

For example, the channel in Table 1 is the (1+D) channel. The description of the data after transmission on the (1+D) channel is as follows: the "precoded data of the previous signal position" of the decision signal identifier 1 does not exist and is regarded as "0". "Precoded data corresponding to the decision signal identifier 1" is "1". Add "the 'precoded data of the previous signal position' of the decision signal identifier 1" and "the precoded data corresponding to the decision signal identifier 1" to obtain the data transmitted through the (1+D) channel , that is, "1". The "precoded data of the previous signal position" of the decision signal identifier 2 is "1". "Precoded data corresponding to the decision signal identifier 2" is "2". Add "the 'precoded data of the previous signal position' of the decision signal identifier 2" and "the precoded data corresponding to the decision signal identifier 2" to obtain the data transmitted through the (1+D) channel , that is, "3". The value status of the precoded data identified by other decision signals after being transmitted through the (1+D) channel can be deduced in this way.

The theoretical value refers to the value of precoded data transmitted from the transmitter to the receiver through the channel without considering the channel noise.

For example, taking Table 1 as an example, at the receiving end, the theoretical value may be the value in the row where "channel" is located.

6. Noise

Noise refers to the interference existing in the channel.

For example, taking Table 1 as an example, the noise corresponding to the decision signal identifier 1 is "-0.19", which refers to the interference of the precoded data corresponding to the decision signal identifier 1 during the channel transmission process. The noise corresponding to the decision signal identifier 2 is "0.17", which refers to the interference of the precoded data corresponding to the decision signal identifier 2 during the channel transmission process. The noise values of precoded data identified by other judgment signals during channel transmission can be found in Table 1 or Table 2, which will not be described again here.

7. DFE input signal (dfe_input), input signal sequence

The input signal of DFE refers to the signal input to DFE, which can be recorded as dfe_input.

In this embodiment of the present application, the DFE belongs to the device at the receiving end. The input signal of DFE refers to the In this case, after the precoded data is transmitted through the channel, the value of the DFE is entered.

For example, taking Table 1 as an example, the value of the input signal corresponding to the judgment signal identifier 1 is "0.81", which is the superposition of the value "1" in the row of "channel" and the value "-0.19" in the row of "noise" The result afterwards. The value of the input signal corresponding to the decision signal identifier 2 is "3.17", which is the result of the superposition of the value "3" in the row of "channel" and the value "0.17" in the row of "noise". The value status of the input signals corresponding to other judgment signal identifiers can be found in Table 1, which will not be described again here.

The input signal sequence includes at least two input signals, and the at least two input signals are arranged in a certain order. For example, still taking the decision feedback structure of the DFE as an example, the arrangement order of the input signals includes the order in which the DFE receives the above-mentioned input signals. For two adjacent input signals in an input signal sequence, if the first input signal is the current input signal received by the DFE, then the second input signal is the next input signal of the current input signal received by the DFE.

8. Balanced value (dfe_output), balanced value sequence

The equalized value refers to the value of the signal after equalization processing. For example, in the decision feedback structure of DFE, the equalization value is the output signal of DFE, denoted as dfe_output. The adder in the DFE uses the symbol value of the decision signal of the previous input signal (dfe_sliced data) to equalize the current input signal to obtain the equalized value (dfe_output) corresponding to the current input signal.

In the embodiment of the present application, the equalization value corresponding to a signal position refers to the equalization value used to determine the decision signal at the signal position. For example, still taking the decision signal sequence including 18 decision signals in Table 1 above as an example, the equalization value corresponding to signal position 1 is recorded as the equalization value 0.81, and the decision signal at signal position 1 is the equalization of the decider in the DFE. The value 0.81 is the signal after judgment processing. Among them, the introduction of the "decision signal", "decision signal sequence" and "symbol value of the decision signal" can be found in the subsequent description and will not be repeated here.

The balanced value sequence includes at least two balanced values, and the at least two balanced values are arranged in a certain order. For example, still taking the decision feedback structure of the DFE as an example, the arrangement order of the equalization values includes the order in which the DFE determines the above-mentioned equalization values. For two adjacent equalization values in an equalization value sequence, if the first equalization value is the equalization value corresponding to the current input signal determined by DFE, then the second equalization value is the next equalization value of the current input signal determined by DFE. The equalization value corresponding to the input signal.

9. Decision signal, symbol value of the decision signal (dfe_sliced data), decision signal sequence

The decision signal refers to the signal after decision processing of the equalized value.

The symbol value of the decision signal refers to the size of the decision signal. For example, in the decision feedback structure of DFE, the symbol value of the signal is decided. For example, the symbol value of the decision signal is recorded as dfe_sliced data. The determiner of the DFE performs decision processing on the current equalization value to obtain the symbol value of the decision signal corresponding to the equalization value.

The decision signal sequence includes at least two decision signals, and the at least two decision signals are arranged in a certain order. For example, still taking the decision feedback structure of the DFE as an example, the arrangement order of the decision signals includes the DFE determining the order of the above decision signals. For two adjacent decision signals in a decision signal sequence, if the first decision signal is the decision signal corresponding to the current equalization value determined by DFE, then the second decision signal is the next one to the current equalization value determined by DFE. The decision signal corresponding to the equalization value. Among them, the arrangement order of the balanced values can be found in the relevant introduction of "Balanced Value Sequence", which will not be described again here.

It should be noted that the symbol value of a decision signal is related to modulation. Taking PAM-4 modulation as an example, the symbol value of the decision signal is one of "0", "1", "2" and "3", or the symbol value of the decision signal is "-3", " A value among -1", "+1" and "+3". In the embodiment of this application, in the case of PAM-4 modulation, the explanation is given as an example of 'the symbol value of a decision signal is one of "0", "1", "2" and "3". .

10. Difference, difference sequence

The difference refers to the difference between the symbol value of the decision signal at a signal position and the equalization value corresponding to the signal position. Among them, the difference can be a positive value or a negative value. For example, the difference is recorded as err.

In the embodiment of the present application, the difference corresponding to a signal position refers to the difference between the symbol value of the decision signal at the signal position and the equalization value corresponding to the signal position. For example, taking the decision signal sequence including 18 decision signals in Table 1 above as an example, the difference value corresponding to signal position 1 is the difference between the symbol value of the decision signal at signal position 1 and the equalization value corresponding to signal position 1 .

The sequence of difference values includes at least two difference values, and the at least two difference values are arranged in a certain order. For example, still taking the decision feedback structure of DFE as an example, the order of the difference values in the difference sequence is the order of the decision signals.

11. Decision noise (dfe_sliced_noise)

Decision noise, also known as DFE decision error value, refers to the estimated noise value corresponding to the signal position where the equalization value is located during the decision processing of the equalization value. For example, the decision noise is denoted as dfe_sliced_noise.

In the embodiment of the present application, the decision noise corresponding to a signal position refers to the difference between the symbol value of the decision signal at the signal position and the equalization value corresponding to the signal position. For example, still taking the decision signal sequence including 18 decision signals in Table 1 above as an example, the decision noise corresponding to signal position 1 is the difference between the symbol value of the decision signal at signal position 1 and the equalization value corresponding to signal position 1. . In other words, the decision noise corresponding to signal position 1 is the difference value corresponding to signal position 1. Alternatively, the decision noise corresponding to signal position 1 is the product of the difference corresponding to signal position 1 and a certain coefficient.

12. Error pattern (out Error), error estimation pattern (ErrorSIGNPredicted)

The error pattern refers to the difference between the symbol value of the error-determined signal and the theoretical value. The error occurring in the above-mentioned decision signal may be a random error or a sudden error, which is not limited in this embodiment of the present application. For example, the error pattern can be recorded as out Error. The error pattern can be positive or negative.

The error estimation pattern is the numerical value estimated using the error pattern. For example, the error estimation pattern can be recorded as ErrorSIGNPredicted. For example, the error pattern and the error transfer characteristics of DFE are used for estimation to obtain the error estimation pattern. Taking Table 1 as an example, the error pattern corresponding to the decision signal identifier 16 is "-1". Using the error propagation characteristics of DFE, it is obtained that the error estimation pattern corresponding to the decision signal identifier 15 is "+1", and then the error pattern corresponding to the decision signal identifier 3 is obtained. The error estimate pattern is "+1".

In the embodiment of the present application, an error estimation pattern corresponding to a signal position can also be described as "an error estimation pattern corresponding to a decision signal." Among them, the error estimation pattern corresponding to a signal position can be a positive value or a negative value.

When the value of the error estimation pattern corresponding to a signal position is positive, it means that the symbol value of the decision signal corresponding to the signal position is greater than the theoretical value. In this case, the theoretical value is obtained by subtracting the value of the error estimation pattern from the symbol value of the decision signal. When the value of the error estimation pattern corresponding to a signal position is negative, it means that the sign value of the decision signal corresponding to the signal position is smaller than the theoretical value. In this case, the theoretical value is obtained by subtracting the negative value of the error estimation pattern from the symbol value of the decision signal.

It should be noted that when a burst error occurs in the decision signal sequence, for at least two adjacent decision signals where a burst error occurs, the error pattern corresponding to the at least two adjacent decision signals is "+1 " and "-1" are distributed alternately. This distribution characteristic can also be described as the "error propagation characteristic of DFE".

13. DFE check value (dfe_sliced_data_Predicted)

The DFE check value is used to estimate the symbol value of the decision signal in the decision signal sequence. For example, the DFE check value is recorded as dfe_sliced_data_Predicted.

In the embodiment of the present application, the DFE check value corresponding to a signal position is a value determined based on the symbol value of the judgment signal at the signal position and the error estimation pattern corresponding to the signal position. For example, still taking the above table 1 of the decision signal sequence including 18 decision signals as an example, the DFE check value corresponding to signal position 1 is the symbol value of the decision signal at signal position 1 The difference between error estimate patterns corresponding to signal position 1.

It should be noted that the value range of the DFE check value is related to modulation. For example, taking PAM-4 modulation as an example, the symbol value of a decision signal is one of "0", "1", "2" and "3". The value range of the DFE check value is [0, 3]. If the DFE check value corresponding to a signal position exceeds [0, 3], it indicates that the signal position is the position of the decision signal where the burst error starts.

14. Random error, burst error

Random error means that during the signal transmission process, the erroneous signal positions are completely unrelated to each other, that is, the previous erroneous signal position has no impact on the next erroneous signal position.

Burst error refers to the phenomenon that during the signal transmission process, erroneous signal positions are related to each other, and erroneous signal positions appear in series. In other words, in a burst error, if one signal position is wrong, the signal position after the signal position has a high probability of being wrong.

In the embodiment of this application, if a sudden error occurs during signal transmission, the name describing the "error signal location" includes at least one of the following:

The signal position of the start of burst error (SoB) refers to the signal position of the first error in the burst error.

The signal position of the earliest start of burst error (ESoB) refers to the earliest possible position of the first erroneous signal in the burst error.

The signal position of the end of burst error (EoB) refers to the signal position of the last error in the burst error.

The signal position of the latest end of burst error (LEoB) refers to the latest possible position of the last error signal in the burst error.

Furthermore, when the signal is a decision signal, the "signal position of SoB" can also be described as the "position of the decision signal of SoB", that is, the position of the decision signal of SoB in the decision signal sequence. "ESoB's signal position" can also be described as "ESoB's decision signal position", that is, the earliest possible position of SoB's decision signal in the decision signal sequence. "EoB signal position" can also be described as "EoB decision signal position", that is, the position of the EoB decision signal in the decision signal sequence.

15. Decoded data (PrecDecOut)

Decoded data refers to the data obtained by decoding the received data using decoding technology when the data received by the receiving end is precoded data.

16. Error identification (ErrorPrecDec)

Error flag used for error conditions that occur at the signal location.

For example, if the value of the error flag corresponding to a certain decision signal flag is "0", it means that no error has occurred at the signal position. If the value of the error flag corresponding to a certain judgment signal flag is "1", it means that an error occurs at the signal position, and the equalization value corresponding to the signal position is greater than the theoretical value. For example, taking "decision signal identification 9" as an example, since the "theoretical value" of "decision signal identification 9" is "0" (that is, the value of "decision signal identification 9" in the row of "channel"), "decision signal identification 9" The "Equilibrium Value" of mark 9" is "0.51". Therefore, the value of the error flag of "decision signal flag 9" is "1". If the value of the error flag corresponding to a certain judgment signal flag is "-1", it means that an error occurs at the signal position, and the equilibrium value of the signal position is smaller than the theoretical value. For example, taking "decision signal identifier 17" as an example, since the "theoretical value" of "decision signal identifier 17" is "6" (that is, the value of "decision signal identifier 17" in the row of "channel"), "decision signal identifier 17" The "equalization value" of "identification 17" is "4.07". Therefore, the value of the error identification of "decision signal identification 9" is "-1".

It should be noted that the examples in Table 1 are as follows:

Table 1

An example of Table 2 is as follows:

Table 2

Referring to Tables 1 and 2, one decision signal identifier corresponds to the position of a decision signal. Tables 1 and 2 respectively show 18 decision signal identifiers, that is, 18 signal positions.

At the transmitting end, the original input data is the data input to the precoder. For each value, please refer to the value of the row of "original input data" in Table 1 or Table 2. The precoder outputs precoded data. For each value, please refer to the value of the row of "precoded data" in Table 1 or Table 2. The precoded data is transmitted through the channel. Without considering noise, after channel transmission, the theoretical value corresponding to each decision signal identifier is the value in the row of "channel" in Table 1 or Table 2. Furthermore, when considering noise, the noise corresponding to each judgment signal identifier is the value in the row of "noise" in Table 1 or Table 2.

At the receiving end, each input signal in the DFE input signal sequence is the "value after superposition of the theoretical value after channel transmission and noise" at the corresponding signal position. Each value can be found in Table 1 or Table 2. The value of the row where the DFE input signal is located. DFE uses an adder to equalize the input signal sequence to obtain a sequence of equalized values. For the values of each equalized value, please refer to the value of the row of "Equalized value of DFE" in Table 1 or Table 2. DFE uses a determiner to perform decision processing on the equalized numerical sequence to obtain a decision signal sequence. See Table 1 or Table 2 for the symbol value of each decision signal. The value of the row containing "Symbol value of DFE's decision signal". During the decision processing process, the decision noise estimated by DFE is as shown in the value of the row of "DFE's decision noise" in Table 1 or Table 2.

When a sudden error occurs in the above-mentioned decision signal sequence, the value of the error estimation pattern is as shown in the row of "DFE error estimation pattern" in Table 1 or Table 2. The "DFE check value" determined based on the symbol value of the decision signal and the error estimation pattern is the value in the row of the "DFE check value" in Table 1 or Table 2. The position of the ESoB decision signal is shown in the value in the row of "The earliest possible position of SoB" in Table 1. In the value in the row of "The earliest possible position of SoB", if the value corresponding to a decision signal identifier is "0", it means that the signal position is not the position of the ESoB decision signal. If the corresponding value of a decision signal identifier is "-1", it means that the signal position is the position of the ESoB decision signal. The position of the LEoB decision signal is shown in the value in the row of "The latest possible position of LEBE" in Table 2. In the value in the row of "The latest possible position of LEoB", if the value corresponding to a decision signal identifier is "0", it means that the signal position is not the position of the LEoB decision signal. If the corresponding value of a decision signal identifier is "1", it means that the signal position is the position of the LEoB decision signal.

At the receiving end, the receiving end decodes the received data to obtain decoded data, as shown in the data in the row of "decoded data" in Table 1 or Table 2. The "error mark" shows the signal position where an error occurs in the above-mentioned decision signal sequence.

17. Signal equalizer technology

Signal equalization technology is a signal processing technology. Signals are prone to distortion during channel transmission, and signal equalization technology can make the signal have characteristics opposite to those of the channel to "offset" the "distortion" during channel transmission, thereby improving the transmission effect. Signal equalization technologies include continuous time linear equalizer (CTLE), feed forward equalizer (FFE), DFE, etc.

Below, the main link balancing architecture is introduced:

The first one is a link balancing architecture based on CTLE, FFE and DFE.

Referring to Figure 1, Figure 1 shows a link balancing architecture based on CTLE, FFE and DFE. The link balancing architecture includes the transmitter and the receiver, as shown in the dotted box in Figure 1.

The transmitter includes FFE and error control coding (ECC) (optional). The signal output by the FFE is transmitted to the receiving end through the channel.

The receiving end includes CDR (clock and data recovery) module, least mean square (LMS) adaptation module, CTLE, analog to digital converter (Analog to Digital Converter, ADC), FFE, DFE, maximum likelihood sequence estimation module (maximum likelihood sequence estimation, MLSE), where MLSE serves as an error correction module.

The arrows shown in Figure 1 indicate the signal flow between the various modules. Among them, the LMS adaptation module sends the coefficient of DFE (c_dfe) to DFE, FFE and MLSE. This coefficient (c_dfe) includes the tap coefficient α of the DFE and the interval dlevel between two adjacent levels in the PAM signal. The signal output by the FFE is the input signal (dfe_input) of the DFE, and the input signal (dfe_input) is input to the DFE and MLSE. The DFE outputs the equalized output signal (dfe_output) obtained by equalizing the input signal (dfe_input) to the MLSE. The DFE will also output the decision signal (sym) obtained after judging the equalized output signal and the difference (err) between the decision signal and the equalized output signal to the LMS adaptive module and MLSE. MLSE performs error correction on the decision signal (sym) based on the received signal, and then outputs the corrected decision signal (sym_dly).

The DFE equalizer of the above-mentioned link balancing architecture causes link errors to propagate, thereby increasing the total bit error rate. The SoB and EoB left over after Precoding technology have become the main source of link errors, affecting the further improvement of link quality. Although MLSE has better equalization effect, this technical solution has problems such as high complexity, high delay and high power consumption.

Second, another link balancing architecture based on CTLE, FFE and DFE

Referring to Figure 2, Figure 2 shows another link balancing architecture based on CTLE, FFE and DFE.

The difference between the link balancing architecture shown in Figure 2 and the link balancing architecture shown in Figure 1 is that the error correction module in Figure 2 is OD-MLSE. The link balancing architecture shown in Figure 2 is an on-demand MLSE solution based on the OD-MLSE balancing technology. This solution uses the burst error cut-off position EoBD detection technology to start the MLSE function module.

The performance of this solution is similar to the solution shown in Figure 1, but the complexity and power consumption of the solution shown in Figure 2 are reduced compared to the solution shown in Figure 1. In addition, although the solution shown in Figure 2 starts MLSE on demand, the startup of MLSE will lead to problems such as increased system area and power consumption, high complexity, and increased latency.

It can be understood that the two link balancing architectures shown in Figure 1 and Figure 2 above can eliminate ISI without amplifying noise. However, the above two link balancing architectures include DFE.

As shown in Figure 3, DFE has a decision feedback structure. Specifically, DFE includes adders (the circle where the "+" is in Figure 3), registers (the box where the character "D" is in Figure 3), and multipliers (where the "×" is in Figure 3 circle) and the determiner (the box where the polyline is located in Figure 3).

The principle of DFE's decision feedback structure is: when DFE receives an input signal (dfe_input), DFE uses the symbol value of the decision signal of the previous input signal (dfe_sliced data) to equalize the current input signal to obtain the equalized value (dfe_output) . Then, the DFE uses a determiner to determine the equalization value (dfe_output) to obtain the symbol value (dfe_sliced data) of the decision signal corresponding to the equalization value (dfe_output).

Obviously, when a misjudged bit error occurs in the DFE, due to the existence of the decision feedback structure, the bit error affects the decision of the next input signal, thus causing error transmission.

In order to solve the problem of error transmission, the sending end usually uses 1/(1+D) precoding technology to precode the data to be sent, and the receiving end uses (1+D) precoding decoding technology to restore the original data. Although precoding technology can suppress error transmission. However, precoding technology still cannot detect and eliminate errors at the start of burst error (SoB), which limits the further reduction of the link error rate.

Please also refer to Figure 4, which provides a link balancing architecture. The link balancing architecture provides a detection technology based on EoBD (End of Burst-error Detection) error cut-off position.

As shown in Figure 4, the working principle of the link balancing architecture is: DFE receives an input signal (dfe_input) and outputs dfe_output, dfe_sliced_data, c_dfe and other information to the error location detection and correction module. The error position detection and correction module determines the error end position (EoB, End of Burst-error) based on the error propagation introduced by DFE, and then determines the error start position SoB based on the error end position.

However, the technology shown in Figure 4 is suitable for situations where the (1+αD) channel α value (also known as tap coefficient) is large, such as a scenario where the tap coefficient is close to 1, or the tap coefficient is greater than 0.5 and less than 1. When α is small, the probability of error transmission overflow is small, which may easily cause the error location detection and error correction module to be unable to identify the location of the EoB, resulting in missed detection and loss of error detection and correction performance.

In view of this, embodiments of the present application provide a location detection method and related devices, which can be applied to scenarios requiring high-speed interconnection. Here, the interconnection link can be one of the following types:

The first type is an interconnection link between chips (chip) through a channel. As shown in (a) in Figure 5, there is an interconnection link between chip A and chip B through a channel.

The second type is the interconnection link between the chip and the optical module (module), and between the optical module and the optical module. As shown in (b) in Figure 5, the interconnection link between chip A and optical module A, optical module A and optical module Interconnection links between modules B, and between optical module B and chip B.

The third type is an interconnection link between boards that are interconnected through channels. As shown in (c) in Figure 5, there is an interconnection link between board A and board B through channels.

The fourth type is the interconnection link between systems through channels. As shown in (d) in Figure 5, the interconnection link between system A and system B is through channels. Here, the system can be a general-purpose computer, a router, a switch, or even a terminal device such as a mobile phone.

Among the above four types of interconnection links, the interconnection link can be an electrical link, such as a printed circuit board (PCB), coaxial cable, etc., or it can be an optical link or a wireless link.

Referring to Figure 6, Figure 6 shows a schematic structural diagram of a position detection device provided by an embodiment of the present application.

The position detection device includes a judgment module and an error position detection module. It can be understood that FIG. 6 is only a schematic diagram of the position detection device provided by this application. The position detection device may include more or fewer modules than in FIG. 6 , and this application does not limit this.

Among them, the judgment module is used to receive the DFE coefficient output by the DFE, and the DFE coefficient includes the tap coefficient. The judgment module compares the relationship between the tap coefficient and the preset threshold, and determines the detection method of the error position detection module based on the relationship.

The error position detection module determines the position of the erroneous decision signal in the decision signal sequence based on the determined detection method and the relevant data output by the DFE (including but not limited to dfe_input, dfe_output, dfe_sliced_data, c_dfe). This position includes the burst error start position SoB and the burst error end position EoB.

Among them, the error location detection module includes two detection methods:

Detection method one: the error position detection module detects the burst error start position SoB, and uses SoB as a trigger to backtrace the decision signal sequence passed by the DFE to detect the burst error end position EoB.

Detection method two: the error position detection module detects the burst error end position EoB, and uses EoB as a trigger to trace back the decision signal sequence passed by the DFE to detect the burst error starting position SoB.

Further, when the tap coefficient is less than or equal to the preset threshold, the judgment module determines that the detection method of the error position detection module is detection method one. When the tap coefficient is greater than the preset threshold, the judgment module determines that the detection method of the error position detection module is detection method two.

Among them, the preset threshold can be set based on the actual bit error probability (Bit Error Ratio, BER) of the channel. For example, if the preset threshold is 0.6, the actual bit error probability of the channel is 0.12; the preset threshold is 0.7, the actual bit error probability of the channel is 0.14; the preset threshold is 0.8, the actual bit error probability of the channel is 0.13, Then the preset threshold can be set to 0.6, so that the actual bit error probability of the channel is optimal or meets the preset requirements.

Specifically, please refer to Figure 7, which is a method for detecting burst error locations based on the architecture shown in Figure 6 provided by this application. The method is as follows:

Step 1. The position detection device receives the information transmitted by the DFE.

Among them, the information includes (but is not limited to) dfe_input, dfe_output, dfe_sliced_data, c_dfe.

The DFE may be located inside the position detection device or outside the position detection device, which is not limited in the embodiments of the present application.

Step 2. The position detection device performs "cache" or "delay" processing on all or part of the information passed by the DFE. The cached or delayed data depth is D.

Among them, the cached or delayed data can be used for subsequent error correction, or will be cached and output when the position detection device does not detect a bit error.

Wherein, D can be the length preset by the position detection device, or it can be the length of the decision signal sequence transmitted by the DFE.

Step 3. The judgment module of the position detection device detects whether the α value is greater than the preset threshold α_th.

Among them, 0<α_th<1, of course, the corresponding preset threshold can also be set according to the specific channel environment.

If α>α_th, go to step 4, if α≤α_th, go to step 5.

Step 4. If α>α_th, the judgment module determines that the detection method of the position detection module is detection method two.

Specifically, step 4 includes the following steps:

The position detection module determines the EoB, and uses the EoB as a trigger to trace back the decision signal sequence passed by the DFE (the traceback length is L, L<=D).

If the burst error starting position SoB is detected during the traceback process, the error position detection module performs error correction on the position detection module passed between SoB and EoB, and outputs the error-corrected decision symbol sequence.

If the position detection module does not detect EoB, it means that there is no sudden error in the decision symbol sequence, and the error position detection module outputs the original decision symbol sequence. The error location detection and correction process ends.

Step 5. If α≤α_th, the judgment module determines that the detection method of the position detection module is detection method two.

Specifically, step 5 includes the following steps:

The error position detection module determines the SoB, and uses the SoB as a trigger to trace back the decision signal sequence passed by the DFE (the traceback length is L, L<=D).

If the error position detection module detects a sudden error starting and ending at EoB, it performs error correction on the decision signal sequence transmitted between SoB and EoB, and outputs the error-corrected decision signal sequence. If the error position detection module does not detect the SoB, the original decision signal sequence is output. The error location detection and correction process ends.

Step 6. The position detection device transmits the error location, error probability and other information of EoB and SoB to FEC, and FEC performs flexible decoding.

It should be noted that FEC is an error control technology that adds redundant information to the transmitted signal so that the FEC decoding module at the receiving end can use the redundant information to detect possible errors in the received signal and correct them. Reed-Solomon (RS) code is often used for various data protection and verification. The RS code can be expressed as RS(N, K). Among them, N represents the codeword length, and K represents the effective information length.

The position detection device and applicable scenarios described in the embodiments of this application are for the purpose of explaining the technical solutions of the embodiments of this application more clearly, and do not constitute a limitation on the technical solutions provided by the embodiments of this application. Persons of ordinary skill in the art know that with the evolution of technical architecture and the emergence of new business scenarios, the technical solutions provided in the embodiments of this application are also applicable to similar technical problems.

The position detection method provided by the embodiment of the present application is described in detail below.

It should be noted that the name of each message or the name of each parameter in the message in the following embodiments of this application is just an example, and other names may also be used in specific implementations. This is explained uniformly and will not be repeated below.

Embodiments of the present application provide a position detection method based on the architecture shown in Figure 6 for detecting burst error positions. The position detection method is applied in the burst error detection process. Referring to Figure 8, the position detection method includes the following steps:

S801. The position detection device obtains a decision feedback equalization coefficient (c_dfe), which includes a tap coefficient.

Among them, the channel detection device receives the decision feedback equalization coefficient (c_dfe) output by the DFE.

In other embodiments, the decision feedback equalization coefficient (c_dfe) may also include a DFE equalization coefficient, which is the level difference between two adjacent levels of the decision signal after DFE decision.

S802. Determine whether the tap coefficient is greater than the first preset threshold.

It can be understood that in the embodiment of the present application, the error position detection method can be determined based on the relationship between the tap coefficient and the first preset threshold. Specifically, since DFE is a feedback equalizer, it is easy to cause erroneous transmission when there is signal misjudgment. If the tap coefficient is greater than the first preset threshold, when there is signal misjudgment, erroneous transmission may easily lead to overflow, making it easy to identify the location of the EoB. If the tap coefficient is less than or equal to the first preset threshold, when there is a signal misjudgment, the error transmission is not easy to overflow, making it difficult to identify the location of the EoB, but it is easy to identify the location of the SoB. In this way, different detection methods are determined based on different relationships between the tap coefficients and the first preset threshold, so as to reduce the probability of missed detection and reduce the loss of error detection and correction performance.

For example, in S802, if the tap coefficient is less than or equal to the first preset threshold, S803 is executed. If the tap coefficient is large At the first preset threshold, execute S805.

S803. Obtain the decision signal sequence of the decision feedback equalizer and determine the first position of the decision signal in the decision signal sequence where the burst error starts.

Among them, the decision signal sequence is the sequence output by the DFE. For example, referring to Figure 6, the position detection device includes an error position detection module. The DFE sends a decision signal sequence to the error position detection module. Correspondingly, the error position detection module receives the decision signal sequence from the DFE.

Exemplarily, the decision signal sequence includes multiple decision signals. Taking Table 2 as an example, the position of a decision signal corresponds to a decision signal identifier. Table 2 shows the positions of the 18 decision signals, namely decision signal identification 1 to decision signal identification 18. The decision signal sequence includes the symbol values of the decision signal at the above-mentioned 18 signal positions.

S804. Determine the second position of the EoB decision signal in the decision signal sequence based on the first position.

Specifically, the SoB can be used as a trigger to trace back the information passed by the DFE to determine the burst error end position EoB.

In this way, when the tap coefficient of the feedback equalizer is less than the first preset threshold and there is signal misjudgment, the error transmission is not easy to overflow, making it difficult to identify the location of the EoB, but it is easy to identify the location of the SoB. In this way, the detection method is determined based on the relationship between the tap coefficient and the first preset threshold, thereby reducing the probability of missed detection and reducing the loss of error detection and correction performance.

In one embodiment, the implementation process of S804 can be described as, for example but not limited to, as follows:

The position detection device first determines the range in which SOB may appear, and then determines "the position of the EoB decision signal in the decision signal sequence" within this range.

Specifically, the position detection device traces the information back based on the SoB position to find LEoB (Latest End of Burst-error), where the area between SoB and LEoB is the first judgment area where SoB may appear, and then in the first Search the position of the SOB within the error propagation pattern within the decision area.

The first decision area includes the location of the LEoB, and also includes the locations corresponding to the decision signals of the SoB and the LEoB.

S805: Obtain the decision signal sequence of the decision feedback equalizer and determine the third position of the decision signal in the decision signal sequence where the burst error ends.

S806. The position detection device determines the fourth position of the SoB decision signal in the decision signal sequence based on the third position.

In this way, when the tap coefficient is greater than or equal to the first preset threshold, the position detection device first determines the third position of the decision signal in the decision signal sequence where the burst error ends, and then determines the SoB decision signal in the decision signal sequence based on the third position. the fourth position.

It can be understood that in this embodiment of the present application, the implementation process of S803 can be described as, for example, but not limited to, as follows:

Step 1: The position detection device obtains the target value 1 corresponding to the signal position A in the judgment signal sequence.

Wherein, signal position A is the position of one or more decision signals in the decision signal sequence. For example, taking Table 2 as an example, signal position A may be one or more decision signal identifiers from decision signal identifiers 1 to 18 .

The target value 1 includes at least one of the following: the symbol value of the decision signal at signal position A, the equalization value corresponding to signal position A, or the difference value corresponding to signal position A. The difference value corresponding to signal position A is the difference between the symbol value of the decision signal at signal position A and the equalization value corresponding to signal position A.

For example, taking the signal position A as including the position of a decision signal, see Figure 6, in the case of "the target value 1 includes the difference value corresponding to the signal position A", the DFE sends the difference value to the error position detection module. Correspondingly, the error position detection module receives the difference value from the DFE. In the case of "target value 1 includes the symbol value of the decision signal at signal position A and the equalization value corresponding to signal position A", the DFE sends the symbol value of the decision signal and the equalization value to the error position detection module. Correspondingly, the error position detection module receives the symbol value and equalization value of the decision signal from the DFE. In "head In the case where the "script value 1 includes the symbol value of the decision signal at signal position A, the equalization value corresponding to signal position A and the difference value corresponding to signal position A", the DFE sends the symbol value, equalization value and sum of the decision signal to the error position detection module. Difference value. Correspondingly, the error position detection module receives the symbol value, equalization value and difference value of the decision signal from the DFE.

It should be noted that when the signal position A includes multiple signal positions, the DFE transmits at least one of the following to the error position detection module: the decision signal sequence, the equalization value sequence, or the difference sequence corresponding to the signal position A.

Step 2: The position detection device determines the position of the decision signal in the decision signal sequence where the burst error starts based on the target value 1.

For example, the error position detection module determines a signal position from signal position A to be the position of the decision signal of SoB in the decision signal sequence based on the symbol value of the decision signal at signal position A and the equalization value corresponding to signal position 1. Or the error position detection module determines a signal position from signal position A as the position of the SoB decision signal in the decision signal sequence based on the difference corresponding to signal position 1.

In one embodiment, the position of the SoB decision signal in the decision signal sequence is determined based on the relationship between the difference value and the second preset threshold. Specifically, the difference value corresponding to each decision signal in the decision signal sequence is determined. If the difference value is greater than the second preset threshold, then the decision signal is the position of the SoB decision signal.

Illustratively, signal position A includes a position of a decision signal. Taking "signal position A is implemented as the decision signal identifier 9 in Table 2" as an example, the second preset threshold is 0.4, and the decision signal at signal position A The symbol value is "0", the equalization value corresponding to signal position A is "0.58", and the difference value corresponding to signal position A is "-0.42". The error position detection module determines that the signal position identified by the decision signal identifier 9 is the position of the SoB decision signal in the decision signal sequence based on the difference (that is, 0.42) being greater than the preset threshold 0.4. Alternatively, the error position detection module determines that the signal position identified by the judgment signal identifier 9 is the SoB in the judgment signal sequence based on the equalization value corresponding to the signal position A (i.e. 0.58) and the symbol value of the decision signal at the signal position A (i.e. 1). The location of the judgment signal.

It should be noted that in the case of "signal position A includes the positions of multiple judgment signals", the error position detection module judges the position of each judgment signal in signal position A. For the specific process, please refer to the description in the previous paragraph. Here No further details will be given.

Further, if it is determined that the difference corresponding to at least two decision signals in the decision signal sequence is greater than the second preset threshold, then the decision signal whose difference is greater than the second preset threshold for the first time in the decision signal sequence is set as the decision signal of SoB s position.

The second preset threshold may be preset in the position detection device, and the second preset threshold may be a fixed value, for example, preset according to parameters of a channel processed by the position detection device. Of course, the second preset threshold can also change in real time according to the channel parameters.

In one embodiment, the second preset threshold may be “ε·α·dlevel”, where ε represents the preset error anomaly coefficient of DFE. α·dlevel may be acquired simultaneously by the position detection device when acquiring the decision signal, where dlevel may be the interval between two adjacent symbol levels of the PAM-N signal. Of course, ε·α·dlevel may also be a fixed value preset in the error correction device, and this application does not limit this.

In this way, when the position detection device obtains the target value 1 at the signal position A, the position detection device obtains the symbol value of the decision signal at the signal position A, the equalization value corresponding to the signal position A, and the difference value corresponding to the signal position A. at least one value, and then determine the position of the SoB decision signal in the decision signal sequence based on the relationship between the target value 1 and the second preset threshold, providing a basis for determining the position of the EoB decision signal.

Refer to Figure 9, which shows the implementation process of S804 in Figure 8. In some embodiments, S804 includes:

S8041. The position detection device determines the first candidate position based on the first position.

Wherein, the first candidate position is the latest candidate position in the judgment signal sequence in which the decision signal of burst error end appears. In other words, the first candidate position is the position of the latest end of burst error (Latest End of Burst-error, LEoB) decision signal that may occur in the decision signal sequence. In other words, the possible locations where SoB's decision signals may appear are described as "candidates" Location".

S8042. The position detection device determines the first determination area based on the first position and the first candidate position.

Wherein, the first decision area includes the first candidate position, the position corresponding to the decision signal between the first position and the first candidate position.

For example, still taking Table 2 as an example, the first decision area includes signal positions between "decision signal identifier 14", "decision signal identifier 10" and "decision signal identifier 14".

For example, taking Table 2 as an example, in the case where the first candidate position is "decision signal identifier 14" and the first position is "decision signal identifier 9", the first decision area includes "decision signal identifier 10" to " The decision signal identifies a signal position in 14". After the error position detection module obtains the "position of the decision signal of SoB" and the target value 2, starting from the position of the decision signal of SoB, the "decision signal identification 9" to "decision signal identification 14" in the decision signal sequence are The corresponding decision signal is traced back, and the position of the EoB decision signal in the decision signal sequence is determined based on the target value 2 at different signal positions.

S8043. The position detection device determines the second position based on the first judgment area.

Specifically, the second position is selected from the first decision area. The error position detection module in the position detection device traces back from the first position to the first candidate position and then stops.

In this way, when the position detection device determines the latest position where the EoB decision signal may appear in the decision signal sequence, the range of the position detection device searching for the EoB decision signal is narrowed to a certain extent, and the efficiency of the position detection device is further reduced. Computation.

It should be noted that, as shown in Figure 9, there are many ways to implement the above S8041. For example, but not limited to the situation shown in the following embodiments, S8041 includes the following steps:

Step 11: The position detection device determines the DFE check value corresponding to the signal position F based on the symbol value of the decision signal at the signal position F and the error estimation pattern corresponding to the signal position F.

The signal position F includes the position of at least one decision signal located after the SoB decision signal in the decision signal sequence. For example, still taking Table 2 as an example, the signal position D includes the position of a decision signal after the decision signal identifier 9. For example, the signal position D is implemented as the signal position corresponding to "decision signal identifier 11", or the signal position D is implemented as The signal position corresponding to "Decision Signal Identification 12".

Among them, the error estimation pattern corresponding to the signal position F is determined based on the error transfer characteristics of the DFE. For example, still taking Table 2 as an example, the decision noise corresponding to the position of the SoB decision signal (ie, decision signal identifier 9) is "-0.42", which means that the equalization value is smaller than the symbol value of the decision signal. In this way, the error position detection module determines that the error estimation pattern corresponding to the position of the decision signal of SoB is "+1". Combined with the error propagation characteristics of DFE, the error estimation pattern corresponding to the signal position after the decision signal mark 9 is shown in Table 2. For example, the error estimation pattern corresponding to the decision signal identifier 14 is "-1", and the error estimation pattern corresponding to the decision signal identifier 13 is "+1".

Exemplarily, the implementation process of S8041 is as follows: in the position detection device, the "symbol value of the judgment signal corresponding to the signal position F" and the "error estimation pattern corresponding to the signal position F" are subtracted to obtain the DFE correction corresponding to the signal position F. test value. For example, taking "the signal position F is implemented as the decision signal identifier 14" as an example, the "symbol value of the decision signal at the signal position F" is "3", and the "error estimation pattern corresponding to the signal position D" is "-1". By subtracting the two, you can get the "DFE check value corresponding to signal position F" as "4". For another example, taking "signal position F implemented as decision signal identifier 15" as an example, "the symbol value of the decision signal at signal position F" is "1", "error estimation pattern corresponding to signal position D" is "+1", Subtracting the two, you can get the "DFE check value corresponding to signal position F" as "1".

Step 12: The position detection device compares the DFE check value corresponding to the signal position F with the preset range A to obtain the comparison result.

Among them, the preset range A is determined based on the symbol value after DFE decision. For example, taking Table 2 as an example, the symbol value after DFE decision includes at least one value among "0", "1", "2" and "3". In this way, the default range 2 is [0,3].

The comparison result indicates which signal position F has a DFE check value that exceeds the preset range A.

For example, taking "the signal position F is implemented as the decision signal identifier 13" as an example, the SoBD module in the position detection device compares the "DFE check value corresponding to the decision signal identifier 13" with the preset range A to obtain the comparison As a result, as the second comparison result indicates, the "DFE check value corresponding to the decision signal identifier 13" does not exceed the preset range A.

Step 13: The position detection device determines the first candidate position based on the comparison result.

For example, if the second comparison result indicates that "the DFE check value corresponding to one signal position in the signal position F exceeds the preset range A", then the position detection device determines the signal position indicated by the comparison result (that is, the DFE check value exceeds the preset range A). Let the signal position of range A) be the first candidate position. On the contrary, if the comparison result indicates that "the DFE check value corresponding to the signal position F does not exceed the preset range A", then the position detection device determines that the signal position F does not include the first candidate position. Here, still taking Table 2 as an example, it is determined that the "DFE check value corresponding to the decision signal identifier 12" does not exceed the preset range A. In this case, the signal position corresponding to the "decision signal identifier 12" is not the first candidate position. The error position detection module further determines whether the signal position corresponding to the "decision signal identifier 13" is the first candidate position. If the signal position corresponding to the "decision signal identifier 13" is not the first candidate position, the error position detection module continues to determine the status of the "decision signal identifier 14", and this cycle continues until the error position detection module determines that the "decision signal identifier 14" corresponds to the signal position. The DFE check value (that is, 4)" exceeds the preset range A. In this case, the signal position corresponding to the "decision signal identifier 14" is the first candidate position.

In this way, when the position detection device determines the DFE check value corresponding to each signal position, the position detection device can determine which signal position is the possible EoB decision signal in the decision signal sequence based on the value of the DFE check value. The latest signal position is the first candidate position.

It should be noted that, as shown in Figure 9 , there are multiple ways to implement the above S8043, which will be described below using Embodiment 1 and Embodiment 2 respectively.

Example 1:

As shown in Figure 10, in Embodiment 1, S8043 includes:

S101. The position detection device obtains the difference value corresponding to the decision signal in the first decision area.

The difference is the difference between the symbol value of the decision signal and the corresponding equalization value.

For example, the difference can be calculated by the following formula:

Difference = symbol value of the decision signal (dfe_output) - equalization value of the decision signal (dfe_sliced_data).

S102. The position detection device determines that the position where the sign of the difference corresponding to the decision symbol from the first position to the first candidate position is the same as the sign of the difference corresponding to the previous adjacent decision symbol is the second position.

For example, taking Table 2 as an example, if the judgment signal identifier 9 to the judgment signal identifier 14 are the positions corresponding to the judgment signal in the first judgment area, the differences between the above positions are: 0.42, 0.22, 0.48, -0.03, respectively. 0.26 and 0.01, the positive and negative signs of the difference are: -, +, +, -, +, +; the positions with the same positive and negative signs as the differences in the previous positions are decision signal identification 11 and decision signal identification 14 respectively. Since the decision signal identifier 11 is the position where the positive and negative sign values of the differences between the adjacent positions from the decision signal identifier 10 to the decision signal identifier 14 first appear, the position of the decision signal identifier 11 is marked as the position of the EoB, that is, the decision The second position in the signal sequence of the decision signal for the end of burst error.

Further, if the number of positions in the decision signal sequence from the first position to the first candidate position where the positive and negative signs of the difference between the decision symbols are the same is greater than one, then the position where the positive and negative signs of the difference first appear is set as EoB .

In this way, when the position detection device determines the latest position where the EoB decision signal may appear in the decision signal sequence, the sign of the difference corresponding to each decision signal identifier in the first decision area determined by SoB and LEoB is determined. , set the position with the same sign of the difference corresponding to the previous adjacent position decision signal as a burst in the decision signal sequence The second position of the error end decision signal.

Example 2:

As shown in Figure 11, in Embodiment 2, S8043 includes:

S111. The position detection device obtains the prediction decision error corresponding to the decision symbol of the first decision area.

Among them, the prediction decision error is also called the wrong image.

For example, taking Table 2 as an example, the decision threshold of the SoB is 0.4, and the difference corresponding to the decision signal identifier 9 is: the symbol value of the decision signal (0.58) - the equalization value of the decision signal (1) = -0.42. The absolute value of the difference is greater than 0.4, then the position of the decision signal mark 9 is determined to be SoB. Since the difference is a negative value, the prediction decision error corresponding to the decision signal mark 9 is +1. Due to the transmission of burst errors, the The predicted decision errors corresponding to the decision signal identifier 10 to the decision signal identifier 14 are: -1, +1, -1, +1, -1. Of course, in other embodiments, if the difference is a positive value, then the prediction decision error corresponding to the decision signal identifier is -1, then the prediction decision errors corresponding to the decision signal identifiers following the decision signal identifier are: +1 , -1, +1, -1, etc.

S112. The position detection device determines the estimated decision error corresponding to the decision symbol of the decision area based on the difference between the difference and the predicted decision error.

Among them, the estimated judgment error is also called the error estimation pattern.

Among them, the difference is the difference between the symbol value of the decision signal (dfe_sliced data) and the corresponding equalization value (dfe_output); the estimated decision error is the difference between the difference and the predicted decision error. Then the calculation formula of the estimated judgment error is:

Estimated decision error = symbol value - equalization value - predicted decision error.

S113. The position detection device determines that the position of the judgment signal with the largest absolute value of the estimated judgment error is the second position.

Illustratively, taking Table 2 as an example, the estimated judgment errors corresponding to the decision signal identifier 10 to the decision signal identifier 14 are: -0.58, 0.68, -0.53, 1.47, -1.08, 0.84 respectively; then the estimated judgment error with the largest absolute value is is 1.47. That is, the position corresponding to the decision signal of the decision signal indicator 14 is the second position.

In this way, when the position detection device determines the latest position where the EoB decision signal may appear in the decision signal sequence, the estimated decision error corresponding to each decision signal identifier is determined within the first decision area determined based on SoB and LEoB, and it is determined The position where the absolute value of the estimated decision error is the largest is the second position of the decision signal in the decision signal sequence where the burst error ends.

It should be noted that please refer to FIG. 8 again. In this embodiment of the present application, there are multiple ways to implement S806. For example, please refer to Figure 12. In some embodiments, S806 includes:

S8061. The position detection device determines the second candidate position in the judgment signal sequence where the decision signal for the burst error starts to appear.

Wherein, the second candidate position is the position of at least one decision signal before the decision signal of burst error end.

S8062. The position detection device determines a second determination area based on the second candidate position and the third position.

The second decision area includes the decision signal of the second candidate position, and the second decision area also includes the decision signal located before the third position and after the second candidate position.

S8063. The position detection device determines the fourth position of the decision signal where the burst error starts in the decision signal sequence based on the second decision area.

In this way, when the position detection device determines the earliest position where the decision signal of SoB may appear in the decision signal sequence, the range of the position detection device searching for the decision signal of SoB is narrowed to a certain extent, and the operation of the position detection device is further reduced. quantity.

It should be noted that, as shown in Figure 12, there are many ways to implement the above S8063. For example, as shown in Figure 13, in some embodiments, S8063 includes:

S131. The position detection device obtains the difference value of the judgment signal in the second judgment area;

Among them, the difference is the difference between the symbol value of the decision signal (dfe_sliced data) and the corresponding equalization value (dfe_output);

S132. The position detection device determines that the position of the judgment signal corresponding to the maximum absolute value of the difference between the judgment signals in the second judgment area is the fourth position.

For example, taking Table 1 as an example, the second decision area includes a signal position from "decision signal identifier 4" to "decision signal identifier 16". The corresponding differences (dfe_slicing_error) from decision signal identification 4 to decision signal identification 16 are 0.13, -0.15, 0.13, 0.10, 0.13, -0.49, 0.02, -0.13, -0.03, 0.11, -0.09, -0.04, -0.04 . The maximum absolute value of the difference is 0.49, that is, the absolute value of the difference corresponding to the decision signal identifier 9 is the maximum, and the fourth position is the position of the decision symbol corresponding to the decision signal identifier 9 .

It should be noted that, as shown in Figure 12, there are many ways to implement the above S8061. For example, as shown in Figure 14, in some embodiments, S8061 includes:

S141. The position detection device determines the DFE check value corresponding to the signal position D based on the symbol value of the decision signal at the signal position D and the error estimation pattern corresponding to the signal position D.

The signal position D includes the position of at least one decision signal located before the EoB decision signal in the decision signal sequence. For example, still taking Table 1 as an example, the signal position D includes the position of a decision signal before the decision signal identifier 17. For example, the signal position D is implemented as the signal position corresponding to "decision signal identifier 16", or the signal position D is implemented as The signal position corresponding to "Decision Signal Identification 15".

Among them, the error estimation pattern corresponding to the signal position D is determined based on the error transfer characteristics of the DFE. For example, still taking Table 1 as an example, the decision noise corresponding to the position of the EoB decision signal (ie, decision signal mark 17) is "1.07", which means that the equalization value is greater than the symbol value of the decision signal. In this way, the position detection module determines that the error estimation pattern corresponding to the position of the EoB decision signal is "+1". Combined with the error propagation characteristics of DFE, the error estimation pattern corresponding to the signal position before the decision signal mark 17 is shown in Table 1. For example, the error estimation pattern corresponding to the decision signal identifier 16 is "-1", and the error estimation pattern corresponding to the decision signal identifier 15 is "+1".

Exemplarily, the implementation process of S141 is as follows: the error position detection module in the position detection device subtracts the "symbol value of the judgment signal corresponding to the signal position D" and the "error estimation pattern corresponding to the signal position D" to obtain the signal position. DFE check value corresponding to D. For example, taking "the signal position D is implemented as the decision signal identifier 16" as an example, the "symbol value of the decision signal at the signal position D" is "0", and the "error estimation pattern corresponding to the signal position D" is "-1". By subtracting the two, you can get the "DFE check value corresponding to signal position D" as "1". For another example, taking "signal position D implemented as the decision signal identifier 15" as an example, "the symbol value of the decision signal at signal position D" is "0", "error estimation pattern corresponding to signal position D" is "+1", Subtracting the two, you can get the "DFE check value corresponding to signal position D" as "-1".

S142. The position detection device compares the DFE check value corresponding to the signal position D with the preset range to obtain the first comparison result.

Among them, the preset range is determined based on the symbol value after DFE decision. For example, taking Table 1 as an example, the symbol value after DFE decision includes at least one value among "0", "1", "2" and "3". In this case, the default range is [0,3].

The first comparison result indicates which signal position D has a DFE check value that exceeds the preset range.

For example, taking "the signal position D is implemented as the decision signal identifier 16" as an example, the SoBD module in the position detection device compares the "DFE check value corresponding to the decision signal identifier 16" with the preset range to obtain the first The comparison results are as follows: The second comparison result indicates that the "DFE check value corresponding to the decision signal identifier 16" does not exceed the preset range.

S143. The position detection device determines the signal position C according to the first comparison result.

Among them, the signal position C is one of the signal positions D.

For example, if the second comparison result indicates that "the DFE check value corresponding to a signal position in signal position D exceeds the preset range", then the error position detection module in the position detection device determines the signal position indicated by the first comparison result ( That is, the signal position (the DFE check value exceeds the preset range) is the signal position C. On the contrary, if the first comparison result indicates that "the DFE check value corresponding to signal position D does not exceed the preset range", then the error position detection module in the position detection device determines that signal position D does not include signal position C. Here, still taking Table 1 as an example, the error position detection module determines that the "DFE check value corresponding to the judgment signal identification 16" does not exceed the preset range. In this case, the signal position corresponding to the "decision signal identification 16" is not a signal position. C. The SoBD module further determines whether the signal position corresponding to "decision signal identification 15" is signal position C. If the signal position corresponding to "decision signal identification 15" is not signal position C, the error position detection module continues to determine the status of "decision signal identification 14", and this cycle continues until the error position detection module determines the DFE calibration corresponding to "decision signal identification 4". "test value (i.e. -1)" exceeds the preset range. In this case, the signal position corresponding to "Judgment Signal Identification 4" is the signal position C.

In this way, when the position detection device determines the DFE check value corresponding to each signal position, the position detection device can determine which signal position is the possible decision signal for SoB in the decision signal sequence based on the value of the DFE check value. The earliest signal position appears, that is, signal position C.

It should be noted that if the position detection device does not obtain the position of the EoB decision signal in the decision signal sequence, it means that there is no sudden error in the decision signal sequence, and the position detection device outputs the original decision signal sequence.

It can be understood that in the position detection method provided by the embodiment of the present application, when the position detection device determines the position of the EoB decision signal in the decision signal sequence, the position detection device can also obtain the signal position B before the EoB decision signal. Target value, such as at least one of the symbol value of the decision signal at signal position B, the equalization value corresponding to signal position B and the first difference value corresponding to signal position B, and then determine the decision signal of SoB in the decision signal sequence based on the target value The position provides a basis for eliminating errors at the SoB and helps reduce the bit error rate.

Furthermore, the position detection device provided by this application is also used to correct based on the decision signal corresponding to the wrong position in the decision signal sequence. This application does not limit the specific correction method.

Please also refer to FIG. 15 , which shows a performance comparison diagram when the tap coefficient is less than or equal to the first preset threshold. In Figure 15, the horizontal axis is the tap coefficient (ALPHA) of DFE, that is, Es/No. The vertical axis is the bit error rate (BER), which can also be called the bit error probability.

Among them, the curve FFE+DFE is based on the (1+D) channel and the equalization performance curve of DFE under the condition of precoding off. The curve FULL MLSE is based on the (1+D) channel, the performance curve of MLSE when precoding is turned on. The curve SOB_USEC errsigh is based on the (1+D) channel and adopts the balanced performance curve of method mode one. The curve EoB_USEC is based on the (1+D) channel and uses the balanced performance curve of method mode 2.

Obviously, when the tap coefficient is less than about 0.825, the performance of method mode one is better than the equalization performance of method mode two. When the tap coefficient is greater than about 0.825, the performance of method mode two is better than the equalization performance of method mode one. The equalization performance of method mode one and method mode two under different tap coefficients is similar to MLSE, but the power consumption and computational complexity of this application are both smaller than MLSE.

Please also refer to FIG. 16 , which shows a performance comparison diagram when the tap coefficient is greater than the first preset threshold. In Figure 16, the horizontal axis is the signal-to-noise ratio, expressed by dividing the energy carried by each symbol by the noise power spectral density, that is, Es/No. The vertical axis is the bit error rate (BER), which can also be called the bit error probability.

In Figure 16, the curve Un-Coded represents the equalization performance curve of DFE under the precoding off condition based on the (1+D) channel in the prior art. The curve (1+D)DFE PrecOff indicates that in the existing technology, based on the (1+D) channel, DFE is Performance curve under closed conditions. The curve (1+D)DFE PrecOn represents the performance curve of DFE under precoding-on condition based on the (1+D) channel in the existing technology. The curve (1+D)EoBD USEC PrecOff represents the performance curve of the error position detection module based on the (1+D) channel under precoding off conditions. The curve (1+D)EoBD USEC PrecON represents the performance curve of the error position detection module based on the (1+D) channel when precoding is turned on. The curve (1+D)Full MSLSE PrecOff represents the performance curve of the error position detection module based on the (1+D) channel under MSLSE off conditions. The curve (1+D)Full MSLSE PrecOn represents the performance curve of the error position detection module based on the (1+D) channel when precoding is turned on.

Obviously, by turning on the error position detection module, the error detection provided by this application has performance comparable to that of turning on MLSE, but the power consumption and computational complexity of the method provided by this application are far less than those of MLSE.

It can be understood that the solutions provided by the embodiments of the present application are mainly introduced from the perspective of methods. Correspondingly, embodiments of the present application also provide a position detection device. The position detection device may be the device in the above method embodiment, or may be a component that can be used in the above device. It can be understood that, in order to implement the above functions, the position detection device includes hardware structures and/or software modules corresponding to each function. Persons skilled in the art should easily realize that, with the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein, the present application can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is performed by hardware or computer software driving the hardware depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each specific application, but such implementations should not be considered beyond the scope of this application.

As a possible embodiment, FIG. 17 shows a schematic structural diagram of a position detection device 1000. The position detection device 1000 includes a communication unit 1003 and a processing unit 1002.

For example, taking the position detection device 1000 as the position detection device in FIG. 6 in the above method embodiment, the communication unit 1003 executes S801-S807 of the position detection device, and/or the communication unit 1003 is also used to execute the position detection device in the embodiment of the present application. Other sending and receiving steps of the detection device. The processing unit 1002 is used to perform S801-S807 of the position detection device in the embodiment of the present application, and/or the processing unit 1002 is used to perform other processing steps of the position detection device in the embodiment of the present application.

All relevant content of each step involved in the above method embodiments can be quoted from the functional description of the corresponding functional module, and will not be described again here.

It should be understood that the processing unit 1002 in the embodiment of the present application can be implemented by a processor or a processor-related circuit component, and the communication unit 1003 can be implemented by a transceiver or a transceiver-related circuit component.

Optionally, the position detection device 1000 may also include a storage unit 1001 for storing the program code and data of the position detection device 1000. The data may include but is not limited to original data or intermediate data.

The processing unit 1002 may be a processor or a controller, such as a central processing unit (CPU), a general-purpose processor, a digital signal processor (DSP), an application specific integrated circuit (Application Specific Integrated Circuit). circuit (ASIC), off-the-shelf programmable gate array (FPGA) or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute the various illustrative logical blocks, modules, and circuits described in connection with this disclosure. The processor can also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of DSP and microprocessors, and so on.

The communication unit 1003 may be a communication interface, a transceiver, a transceiver circuit, etc., where the communication interface is a general term. In specific implementation, the communication interface may include multiple interfaces.

The storage unit 1001 may be a memory.

When the processing unit 1002 is a processor, the communication unit 1003 is a communication interface, and the storage unit 1001 is a memory, the position detection device 1100 involved in the embodiment of the present application may be as shown in FIG. 17 .

As another example, please refer to Figure 18. As another possible embodiment, the position detection device 1100 includes: Processor 1102, transceiver 1103, memory 1101.

The transceiver 1103 may be an independently configured transmitter, which may be used to send information to other devices, or the transceiver may be an independently configured receiver, which may be used to receive information from other devices. The transceiver may also be a component that integrates the functions of sending and receiving information. The embodiments of this application do not limit the specific implementation of the transceiver.

Optionally, the position detection device 1100 may also include a bus 1104. Among them, the transceiver 1103, the processor 1102 and the memory 1101 can be connected to each other through the bus 1104; the bus 1104 can be a peripheral component interconnect standard (peripheral component interconnect, PCI) bus or an extended industry standard architecture (EISA) bus etc. The bus 1104 can be divided into an address bus, a data bus, a control bus, etc. For ease of presentation, only one thick line is used in Figure 11, but it does not mean that there is only one bus or one type of bus.

As a possible embodiment, this embodiment of the present application provides a chip, which includes a logic circuit and an input and output interface. Among them, the input and output interface is used to communicate with modules outside the chip, and the logic circuit is used to perform other operations on the position detection device in the above method embodiment except for the sending and receiving operations.

For example, taking the function of the chip implemented as the position detection device in Figure 8 in the above method embodiment as an example, the input and output interface executes S801-S807 of the position detection device, and/or the input and output interface is also used to execute the position detection device in the embodiment of the present application. Other sending and receiving steps of the detection device. The logic circuit is used to perform S801-S807 of the position detection device in the embodiment of the present application, and/or the logic circuit is also used to perform other processing steps in the embodiment of the present application.

Those of ordinary skill in the art can understand that the above embodiments may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented using software, it may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present application are generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in or transmitted from one computer-readable storage medium to another, e.g., the computer instructions may be transferred from a website, computer, server, or data center Transmission to another website, computer, server or data center through wired (such as coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (such as infrared, wireless, microwave, etc.) means. The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or data center integrated with one or more available media. The available media may be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., digital video discs (DVD), or semiconductor media (e.g., solid state disks (SSD))) wait.

It should be understood that in the several embodiments provided in this application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or can be integrated into another system, or some features can be ignored, or not implemented. On the other hand, the coupling or direct coupling or communication connection between each other shown or discussed may be through some interfaces, and the indirect coupling or communication connection of the devices or units may be in electrical or other forms.

The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place, or they may be distributed to multiple network devices. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application can be integrated into one processing unit, each functional unit can exist independently, or two or more units can be integrated into one unit. The above integrated unit can be implemented in the form of hardware or in the form of hardware plus software functional units.

Through the above description of the implementation, those skilled in the art can clearly understand that the present application can be implemented by means of software plus necessary general hardware. Of course, it can also be implemented by hardware, but in many cases the former is a better implementation. . Based on this understanding, the technical solution of the present application can be embodied in the form of a software product in essence or that contributes to the existing technology. The computer software product is stored in a readable storage medium, such as a computer floppy disk. , a hard disk or an optical disk, etc., including a number of instructions to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in various embodiments of this application.

The above are only specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Changes or substitutions within the technical scope disclosed in the present application shall be covered by the protection scope of the present application. Therefore, the protection scope of this application should be subject to the protection scope of the claims.

Claims

A position detection method, characterized by including:

Obtain decision feedback equalizer coefficients, where the decision feedback equalizer coefficients include tap coefficients;

Obtain the decision signal sequence of the decision feedback equalizer;

If the tap coefficient is less than or equal to the first preset threshold, determine the first position of the decision signal in the decision signal sequence where the burst error starts;

The second position of the decision signal in the decision signal sequence indicating the end of the burst error is determined based on the first position.
The position detection method according to claim 1, characterized in that, determining the second position of the decision signal in the decision signal sequence in which the burst error ends based on the first position includes:

Determine the first candidate position of the latest occurrence of the decision signal of the burst error end in the decision signal sequence, the first candidate position being the position of at least one decision signal after the decision signal of the burst error start;

A first decision area is determined based on the first candidate position and the first position, and the first decision area includes a first candidate position, a decision signal corresponding to the first position and the first candidate position. Location;

The second position is determined based on the first decision area.
The position detection method of claim 2, wherein determining the second position based on the first determination area includes:

Obtain the difference value corresponding to the decision signal in the first decision area, where the difference value is the difference between the symbol value of the decision signal and the corresponding equalization value;

It is determined that the positive and negative sign of the difference corresponding to the decision symbol from the first position to the first candidate position in the decision area is the same for the first time as the positive and negative sign of the difference between the previous adjacent decision symbols. the second position.
The position detection method of claim 2, wherein determining the second position based on the first determination area includes:

Obtaining an error image corresponding to the decision signal in the first decision area;

An error estimation image is determined based on a difference value and the error image, wherein the difference value is the difference between the symbol value of the decision signal and the corresponding equalization value, and the error estimation image is the difference value and the Difference between error images;

The position of the decision signal with the largest absolute value of the erroneous estimated image is determined to be the second position.
The position detection method according to claim 2, wherein the first candidate position of the decision signal that determines the end of the burst error appears latest in the decision signal sequence includes:

Obtain the DFE check value corresponding to the decision signal in the decision signal sequence, wherein the DFE check value is determined based on the symbol value of the decision signal and the corresponding error estimation pattern;

The position where the DFE check value of the decision signal exceeds a preset range is determined to be the first candidate position.
The position detection method according to claim 2, characterized in that the method further includes:

If the tap coefficient is greater than the first preset threshold, determine the third position of the decision signal in the decision signal sequence where the burst error ends;

Determining a second candidate position at which the decision signal for the start of the burst error begins to appear in the decision signal sequence, the second candidate position being the position of at least one decision signal before the decision signal for the end of the burst error;

A fourth position of the decision signal in the decision signal sequence where a burst error starts is determined based on the second candidate position and the third position.
The position detection method according to claim 6, wherein the method is based on the second candidate position and the The third position determines the fourth position of the decision signal in the decision signal sequence where the burst error starts, including:

A second decision area is determined based on the third position and the second candidate position, and the second decision area includes a second candidate position, a decision signal corresponding to the second candidate position, and the third position. Location;

Obtain the difference value of the decision signal in the second decision area; the difference value is the difference between the symbol value of the decision signal and the corresponding equalization value;

The position of the judgment signal corresponding to the maximum absolute value of the difference value of the judgment signal in the second judgment area is determined to be the fourth position.
The position detection method according to any one of claims 1 to 7, characterized in that the method further includes:

Correct the decision signal corresponding to the first position to the second position.
A position detection device, characterized by comprising: a communication unit and a processing unit, wherein,

The communication unit is used to obtain decision feedback equalizer coefficients, where the decision feedback equalizer coefficients include tap coefficients;

The communication unit is also used to obtain the decision signal sequence of the decision feedback equalizer;

The processing unit is configured to determine the first position of the decision signal in the decision signal sequence where a burst error starts when the tap coefficient is less than or equal to a first preset threshold;

The processing unit is further configured to determine, based on the first position, a second position of the decision signal in the decision signal sequence that indicates the end of the burst error.
The device according to claim 9, characterized in that:

The processing unit is further configured to: determine the first candidate position of the latest occurrence of the decision signal of the burst error end in the decision signal sequence, where the first candidate position is at least one decision signal after the decision signal of the burst error start s position;

A first decision area is determined based on the first candidate position and the first position, and the first decision area includes a first candidate position, a decision signal corresponding to the first position and the first candidate position. Location;

The second position of the decision signal in the decision signal sequence where the burst error ends is determined based on the first decision area.
The device according to claim 10, characterized in that:

The processing unit is further configured to: obtain a difference value corresponding to the decision signal in the first decision area, where the difference value is a difference between the symbol value of the decision signal and the corresponding equalization value;

It is determined that the sign of the difference corresponding to the decision symbol from the first position to the first candidate position in the first decision area is the same for the first time as the sign of the difference between the previous adjacent decision symbols. The position is the second position of the decision signal in the decision signal sequence where the burst error ends.
The device according to claim 10, characterized in that:

The processing unit is further used for:

Obtaining an error image corresponding to the decision signal in the first decision area;

An error estimation image is determined based on a difference value and the error image, wherein the difference value is the difference between the symbol value of the decision signal and the corresponding equalization value, and the error estimation image is the difference value and the Difference between error images;

The position of the decision signal with the largest absolute value of the erroneous estimated image is determined to be the second position.
The device of claim 10, wherein the processing unit is further configured to:

Obtain the DFE check value corresponding to the decision signal in the decision signal sequence, wherein the DFE check value is determined based on the symbol value of the decision signal and the corresponding error estimation pattern;

The position where the DFE check value of the decision signal exceeds the preset range is determined to be the first candidate position.
The device of claim 9, wherein the processing unit is further configured to:

If the tap coefficient is greater than the first preset threshold, determine the decision signal of the burst error end in the decision signal sequence. the third position;

Determining a second candidate position at which the decision signal for the start of the burst error begins to appear in the decision signal sequence, the second candidate position being the position of at least one decision signal before the decision signal for the end of the burst error;

A fourth position of the decision signal in the decision signal sequence where a burst error starts is determined based on the second candidate position and the third position.
The device of claim 14, wherein the processing unit is further configured to:

A second decision area is determined based on the third position and the second candidate position, and the second decision area includes a second candidate position, a decision signal corresponding to the second candidate position, and the third position. Location;

Obtain the difference value of the decision signal in the second decision area; the difference value is the difference between the symbol value of the decision signal and the corresponding equalization value;

The position of the judgment signal corresponding to the maximum absolute value of the difference between the judgment signals in the second judgment area is determined to be the fourth position.
The device according to any one of claims 9 to 15, characterized in that the processing unit is also used for:

Correct the decision signal corresponding to the first position to the second position.
A position detection device, characterized in that it includes: a processor and a memory, the processor is coupled to the memory, the memory stores program instructions, and when the program instructions stored in the memory are executed by the processor , the position detection method according to any one of claims 1 to 8 is executed.
A chip, characterized in that the chip includes a logic circuit and an input/output interface, the input/output interface is used to communicate with modules outside the chip, and the logic circuit is used to run computer programs or instructions to execute The position detection method according to any one of claims 1 to 8.
A computer-readable storage medium, characterized in that the computer-readable storage medium stores a program, and when the program is called by a processor, the position detection method according to any one of claims 1 to 8 is executed.